Title :
Observer Trajectory Optimization of Maneuvering Target for Bearings-only Tracking
Author :
Yu Hua ; Wu Wen-Quan ; Liu Zhong
Author_Institution :
Dept. of Command Autom., Naval Univ. of Eng., Wuhan, China
Abstract :
An approach to observer trajectory optimization for maneuvering target is proposed in this paper through minimizing the cost function based on Extended Kalman Filter (EKF) related with uncertainties of state estimate. Computer simulation results demonstrate that the significant improvement in accuracy can be further achieved through combining observer trajectory optimization with Interacting Multiple Model (IMM) estimator.
Keywords :
Kalman filters; motion estimation; observers; target tracking; extended Kalman filter; interacting multiple model estimator; maneuvering target; observer trajectory optimization; state estimate uncertainty; Acceleration; Observers; Optimization; Solids; Target tracking; Trajectory; Interacting Multiple Model (IMM); passive tracking; target motion analysis (TMA); trajectory optimization;
Conference_Titel :
Information Science and Management Engineering (ISME), 2010 International Conference of
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-7669-5
Electronic_ISBN :
978-1-4244-7670-1
DOI :
10.1109/ISME.2010.275
